Lead Machine Learning Engineer - Remote Eligible

Lead Machine Learning Engineer

Launch Potato is a profitable digital media company that reaches over 30M+ monthly visitors through brands such as FinanceBuzz, All About Cookies, and OnlyInYourState.

As The Discovery and Conversion Company, our mission is to connect consumers with the world's leading brands through data-driven content and technology.

Headquartered in South Florida with a remote-first team spanning over 15 countries, we've built a high-growth, high-performance culture where speed, ownership, and measurable impact drive success.

Your Role

Lead a team of ML engineers building next-generation personalization and optimization systems. You'll balance hands-on technical work with team leadership, driving both technical excellence and business impact. This role requires someone who can architect complex systems while mentoring others and collaborating across organizations.

What You'll Do

• Lead a team of 3-5 ML engineers building personalization systems
• Architect multi-stage ranking systems (retrieval → ranking → re-ranking)
• Define technical roadmap aligned with business objectives
• Drive improvements in model quality, system reliability, and development velocity
• Establish best practices for model development and deployment
• Partner with product, data science, and engineering teams
• Contribute hands-on to critical model development (50% coding)

What We're Looking For

• 7+ years in ML engineering, 2+ years leading technical teams
• Deep expertise in large-scale personalization systems
• Experience with modern ML architectures (two-tower, transformer-based, graph neural networks)
• Strong system design skills for ML infrastructure
• Proven ability to mentor engineers and drive technical decisions
• Experience managing stakeholder relationships and project delivery
• BS/MS in Computer Science or equivalent experience

Nice to Have

• Experience in adtech, e-commerce, or content platforms
• Published papers or significant ML contributions
• Experience with multi-objective optimization
• Knowledge of reinforcement learning for personalization